Follow us on

  /  Article Papers   /  Corsica oil spill, October – November 2018: fusion of modeling and observations

Impressive Project

Corsica oil spill, October – November 2018: fusion of modeling and observations

Svitlana Liubartseva¹, Malek Smaoui², Giovanni Coppini¹, Gabino Gonzalez², Rita Lecci¹, Ivan Federico¹
¹Fondazione CMCC - Centro EuroMediterraneo sui Cambiamenti Climatici, OPA Division - Ocean Predictions and Applications, Lecce, Italy (svitlana.liubartseva@cmcc.it), ²REMPEC - Regional Marine Pollution Emergency Response Centre for the Mediterranean Sea, Valletta, Malta

In the early morning of October 7th2018, a Ro-Ro/passenger ship Ulysse, registered in Tunisia struck the hull of a Cyprus-based container ship Virginia, which had been anchored around 16 miles north of the French Island of Corsica. There were no casualties, but the collision caused a fuel leak of around 530 m3, threatening the marine environment and coastal areas. During the operational phase 11–16 October 2018, the Regional Marine Pollution Emergency Response Centre for the Mediterranean Region (REMPEC) collaborated with the Mediterranean Operational Network for the Global Ocean Observing System (MONGOOS) to obtain the scientifically sound forecasts of oil drift and fate. Apart from the overflight and satellite data, REMPEC provided a real-time coupling the information flow between MONGOOS and end users. As a result, 5 pollution forecast bulletins were delivered to competent authorities. Oil    drift    and    fate    predictions    were    simulated    by    the Lagrangian    oil    spill    model    MEDSLIK-II(http://medslik-ii.org/).  The  model  was  forced  by  hourly  forecast  datasets  on  ocean  currents  at  a  horizontal   resolution   of   1/24oprovided   by   Copernicus   Marine   Environment   Monitoring   Service   (CMEMS http://marine.copernicus.eu/services-portfolio/access-to-products/), and ECMWF wind at 0.125owith a temporal resolution of 6 h. To calculate the Stokes drift, the empirical, so-called JONSWAP wave spectrum as a function of wind speed and fetch was used. The changes in the surface oil volume were attributable to four main processes, known collectively as weathering (evaporation, spreading, emulsification, and natural dispersion). When the oil arrived on the coastline, the model simulated the adsorption into the coastal environment, taking into account a probability that the oil may be washed back into the water. In the present work, we have reconstructed the spill drift using (1) as many as possible observations; (2) CMEMS analyses  and;  (3) a posteriori corrected  oil  spill  scenarios.  To  obtain  as  realistic  as  possible  oil  distributions MEDSLIK-II is repeatedly re-initialized from the observed locations. Calculated oil drift animation shows that the coastlines of Italy, Monaco, and France were at risk of oil pollution during the operational phase. The model reveals the consistent patterns in oil trajectory foreseeing that the oil reached the coastline of Levant Island (France) on 15th2018. In reality, on 16th2018, the oil hit the coastline of Saint Tropez (France) located of∼20 km from the predicted site. Simple metrics introduced demonstrate a rather good prediction skill of the model. Model validation in the context of the real case scenarios will help to improve the forecasting quality and expand the MEDSLIK-II functionality. This work is performed in the framework of the IMPRESSIVE project (#821922) co-funded by the European Commission under the H2020 Programme.